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» An integrated method for social network extraction
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SDM
2009
SIAM
185views Data Mining» more  SDM 2009»
15 years 6 months ago
Understanding Importance of Collaborations in Co-authorship Networks: A Supportiveness Analysis Approach.
Co-authorship networks, an important type of social networks, have been studied extensively from various angles such as degree distribution analysis, social community extraction a...
Bin Zhou 0002, Jian Pei, Yan Jia, Yi Han
SIGIR
2011
ACM
14 years 11 days ago
Mining tags using social endorsement networks
Entities on social systems, such as users on Twitter, and images on Flickr, are at the core of many interesting applications: they can be ranked in search results, recommended to ...
Theodoros Lappas, Kunal Punera, Tamás Sarlo...
WSDM
2012
ACM
352views Data Mining» more  WSDM 2012»
13 years 5 months ago
Multi-relational matrix factorization using bayesian personalized ranking for social network data
A key element of the social networks on the internet such as Facebook and Flickr is that they encourage users to create connections between themselves, other users and objects. On...
Artus Krohn-Grimberghe, Lucas Drumond, Christoph F...
IDEAL
2007
Springer
15 years 3 months ago
Topological Tree Clustering of Social Network Search Results
In the information age, online collaboration and social networks are of increasing importance and quickly becoming an integral part of our lifestyle. In business, social networking...
Richard T. Freeman
TKDE
2012
250views Formal Methods» more  TKDE 2012»
12 years 12 months ago
Dense Subgraph Extraction with Application to Community Detection
— This paper presents a method for identifying a set of dense subgraphs of a given sparse graph. Within the main applications of this “dense subgraph problem”, the dense subg...
Jie Chen 0007, Yousef Saad